Silent Data Corruption Detection and Repair

Introduced software-level techniques for proactively detecting and repairing instances of silent data corruption in MongoDB Atlas. This includes monitoring for checksum failures, identifying corrupt documents using MongoDB indexes and replication, and repairing corruption by leveraging redundant replicas. The system utilizes a data plane and control plane architecture, with a MongoDB Agent in the data plane tailing logs for specific corruption-indicating patterns and reporting high-level metadata to the control plane for analysis and alerting.